Ming Li
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Prof. Ming Li |
Biography
I am a "Shuang Long Scholar" Distinguished Professor at the Zhejiang Key Laboratory of Intelligent Education Technology and Application, the Director of GraphME Lab ( Graph Machine Learning and Intelligent Education). Zhejiang Normal University, China. I received the PhD degree from the Department of Computer Science and IT at La Trobe University, Australia, in 2017, and then completed two Postdoctoral Fellowship positions with the Department of Mathematics and Statistics, La Trobe University, Australia, and the Department of Information Technology in Education, South China Normal University, China, respectively. Following that, I completed two postdoctoral fellowships: one at the Department of Mathematics and Statistics, La Trobe University, Australia, and another at the Department of Information Technology in Education, South China Normal University, China. I have published extensively in top-tier journals and conferences, including IEEE TPAMI, Artificial Intelligence, IEEE TKDE, SCIENCE CHINA-Information Sciences, IEEE TNNLS, ICML, AAAI, etc. I am a member of IEEE, the China Computer Federation (CCF), the Chinese Association for Artificial Intelligence (CAAI), and an accredited member of the Australian Mathematical Society (AustMS).
As the leading guest editor, I organized a special issue on “Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications” in IEEE TNNLS, a special session on "Design and Theory of Deep Graph Learning" in the 2025 IEEE International Joint Conference on Neural Networks (IJCNN 2025), and a special session on "Recent Advances in Deep Learning for Graphs" in the 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science (LOD2022). I served as an AC/SPC/PC Member for top conferences such as ICML, NeurIPS, IJCAI, KDD, ICLR, etc. I am an Action/Associate Editor or Editorial Board Member for journals like Pattern Recognition, Neural Networks, and Machine Learning. I am a member of IEEE Task Force on Learning for Structured Data
**I am seeking highly motivated students to collaborate with me on exciting research areas, including graph neural networks, graph representation learning, hypergraph neural networks, and geometric deep learning .
中文简介
教授，博士生导师，入选浙江省第二批高校“院士专家结对培育青年英才计划”（同年全省仅56人）人才、 高校高层次拔尖人才 (第二批“浙江省高校领军人才计划”培养人选，即“5246人才工程”)、 “钱江人才计划”紧缺急需人才， 入选国际理论物理中心ICTP Regular Associate协联成员。现任浙江省智能教育技术与应用重点实验室副主任， 图机器学习与智能教育实验室 (GraphME Lab)负责人，中国人工智能学会、中国计算机学会会员，中国人工智能学会知识工程与分布智能专委会委员， 中国人工智能学会机器学习专业委员会通讯委员，CCF-AI专委会图机器学习学组首届秘书处成员。 担任Pattern Recognition、Neural Networks、Machine Learning在内的多个国际权威期刊副主编/编委， 曾任神经网络方向国际权威期刊IEEE TNNLS专刊首席特邀副主编。在IEEE TPAMI、Artificial Intelligence、IEEE TKDE、SCIENCE CHINA-Information Sciences 等期刊及ICML/NeurIPS/AAAI等国际会议上发表论文100余篇， 其中第一或通讯作者发表的CCF/CAA/CAAI-A类论文40多篇（含8篇ESI高被引、2篇ESI热点论文、7篇Oral 会议论文）， 第一作者的论文成果荣获AAAI 2026大会杰出论文奖（Outstanding Paper Award）。谷歌学术引用近6000次（h-index: 40）， 入选全球前2%顶尖科学家榜单（2024-2025）。担任ICML/NeurIPS/IJCAI/KDD/ICLR等国际会议的AC/SPC/PC Member。
主持国家自然科学基金面上项目1项（已结题）、 青年科学基金项目（C类）1项（已结题）、浙江省 “领雁”研发攻关计划项目（即省重点研发计划项目）1项（在研）； 作为合作单位项目负责人联合承担国家自然科学基金区域创新发展联合基金重点项目1项（已结题）； 作为核心成员参与国家科技创新2030—“新一代人工智能”重大项目课题1项、浙江省重点研发计划项目2 项（已结题）。 授权发明专利10余项，相关图神经网络技术成果已在知识追踪、学习行为分析等智能教育场景中实现技术落地，并成功应用于科大讯飞多个智能教育平台服务中， 产生了良好的经济效益与示范效应。相关成果获浙江省科学技术进步奖一等奖1项，第二十五届中国专利优秀奖1项。 获第三届全国高校教师教学创新大赛浙江省二等奖 (新工科正高组)。
近年来指导硕博士研究生获批浙江省大学生科技创新活动计划（新苗人才计划）项目3项、 浙江省教育厅一般项目4项；指导学生获得“华为杯”第五届中国研究生人工智能创新大赛三等奖1项；指导的学生中已有6人获得研究生国家奖学金。